evelyn0 Goto Github PK
Name: Eve C. Niza
Type: User
Bio: My name is Evelyn. I am a Ph.d student in Quantitative Finance and Economics. I am interested in energy economics.
Location: Spain
Name: Eve C. Niza
Type: User
Bio: My name is Evelyn. I am a Ph.d student in Quantitative Finance and Economics. I am interested in energy economics.
Location: Spain
My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill
Method developed by Tiago Dantas and Fernando Cyrino Oliveira that combines Bagging, Clusters and ETS to produce highly accurate time series forecasts
R package that helps create and export ggplot2 charts in the style used by the BBC News data team
My CV built using RMarkdown and the pagedown package.
Cheat Sheets
The Leek group guide to data sharing
Dynamic Web-based Analytics for the Energy Industry
A real-time visualisation of the CO2 emissions of electricity consumption
Corrections for ENECO paper
Spectral decomposition of spillover measures
A robot powered training repository :robot:
The highfrequency package contains an extensive toolkit for the use of highfrequency financial data in R. It contains functionality to manage, clean and match highfrequency trades and quotes data. Furthermore, it enables users to: calculate easily various liquidity measures, estimate and forecast volatility, and investigate microstructure noise and intraday periodicity.
Estimation and forecasting of VAR model with the Lasso
MSc Economics Thesis (2019)
R package for statistical inference using panelPOMPs (panel Partially Observed Markov Processes)
The code for the Markov Switching model with constant transition probabilities shiny app in my R/Finance 2015 presentation. The app is online here: https://mattbrigida.shinyapps.io/MSCP/
Replication code for the World Bank Atlas of Sustainable Development Goals 2018
Spatial Electricity Models in R
Computation of Connectedness indices as in Diebold & Yilmaz, and Baruník & Křehlík
This project will aim at studying and analyzing the inflation rates of countries globally. The dataset is a public dataset downloaded from International Monetary Fund(IMF) which consists of the inflation rates of countries from 1980 to 2017 and the projected inflation rates of the countries till 2022. Finally I will be producing a dashboard build in R to visualize and analyze the inflation rates.
Realized Volatility Forecasting modeling
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.